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Advances in Embryomorphic Engineering

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Book cover Unconventional Computation and Natural Computation (UCNC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7445))

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Abstract

Generally, phenomena of spontaneous pattern formation are random and repetitive, whereas elaborate devices are the deterministic product of human design. Yet, biological organisms and collective insect constructions are exceptional examples of complex systems that are both self-organized and architectured. Can we understand their precise self-formation capabilities and integrate them with technological planning? Can physical systems be endowed with information, or informational systems be embedded in physics, to create autonomous morphologies and functions? A new field of research, Morphogenetic Engineering, was established [1] to explore the modeling and implementation of “self-architecturing” systems. Particular emphasis is set on the programmability and computational abilities of self-organization, properties that are often underappreciated in complex systems science—while, conversely, the benefits of self-organization are often underappreciated in engineering methodologies.

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References

  1. Doursat, R., Sayama, H., Michel, O.: Morphogenetic Engineering: Reconciling self-organization and architecture. In: Morphogenetic Engineering: Toward Programmable Complex Systems. NECSI “Studies on Complexity”. Springer (2012)

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  2. Doursat, R., Sánchez, C.A., Dordea, R., Fourquet, D., Kowaliw, T.: Embryomorphic Engineering: Emergent innovation by evolutionary development. In: Doursat, R., Sayama, H., Michel, O. (eds.) Morphogenetic Engineering: Toward Programmable Complex Systems. NECSI “Studies on Complexity”. Springer (2012)

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© 2012 Springer-Verlag Berlin Heidelberg

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Doursat, R. (2012). Advances in Embryomorphic Engineering. In: Durand-Lose, J., Jonoska, N. (eds) Unconventional Computation and Natural Computation. UCNC 2012. Lecture Notes in Computer Science, vol 7445. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32894-7_3

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  • DOI: https://doi.org/10.1007/978-3-642-32894-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32893-0

  • Online ISBN: 978-3-642-32894-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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